Antoine Lesage-Landry
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Cahiers du GERAD
Mar 2022
Antoine Lesage-Landry, Félix Pellerin, Joshua A. Taylor, and Duncan Callaway
We formulate a batch reinforcement learning-based demand response approach to prevent distribution network constraint violations in unknown grids. We use the...
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Mar 2022
Antoine Lesage-Landry and Duncan Callaway
We formulate a batch reinforcement learning-based demand response approach to prevent distribution network constraint violations in unknown grids. We use the...
BibTeX reference
Jan 2022
Antoine Lesage-Landry and Duncan Callaway
We formulate an efficient approximation for multi-agent batch reinforcement learning, the approximated multi-agent fitted Q iteration (AMAFQI). We present a ...
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Dec 2021
Antoine Lesage-Landry, Joshua A. Taylor, and Duncan Callaway
IEEE Transactions on Automatic Control, 66(12), 6164–6170, 2021
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Oct 2021
Antoine Lesage-Landry, Joshua A. Taylor, and Iman Shames
IEEE Transactions on Automatic Control, 66(10), 4866–4872, 2021
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Proceedings
Feb 2022
Batch Reinforcement Learning for Network-Safe Demand Response in Unknown Electric Grids
Antoine Lesage-Landry and Duncan Callaway
To appear in: 22nd Power Systems Computation Conference (PSCC 2022), Porto, Portugal, 2022
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Dec 2021
Multi-agent reinforcement learning for renewable integration in the electric power grid
Vincent Mai, Tianyu Zhang, and Antoine Lesage-Landry
NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021
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Oct 2021
Fitted Q-iteration for network-safe demand response
Antoine Lesage-Landry and Duncan Callaway
2021 INFORMS Annual Meeting, Anaheim, USA, 2021
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